Probability, Statistics and Simulation
With Application Programs Written in R
Buch in deiner Nähe kaufen
Beschreibung
This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All themes are developed starting from fundamentals, highlighting their applicative aspects, up to the detailed description of several cases particularly relevant for technical and scientific research. The text is dedicated to university students in scientific fields and to all researchers who have to solve practical problems by applying data analysis and simulation procedures. The R software is adopted throughout the book, with a rich library of original programs accessible to the readers through a website.
This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All themes are developed starting from fundamentals, highlighting their applicative aspects, up to the detailed description of several cases particularly relevant for technical and scientific research. The text is dedicated to university students in scientific fields and to all researchers who have to solve practical problems by applying data analysis and simulation procedures. The R software is adopted throughout the book, with a rich library of original programs accessible to the readers through a website.
All topics of probability and statistics are treated with a problem-solving approach supported by simulation The use of the R software accompanies the readers throughout the book, providing them with many original routines Hundreds of completely solved exercises and problems help the reader to understand the topics covered in the text
Autor*in
Alberto Rotondi
Themen in »Probability, Statistics and Simulation«
Probability, statistics and simulation R routines for probability, statistics and simulation statistical analysis experimental data chi-square goodness-of-fit testing statistical problem-solving with rigorous exposition Monte Carlo Methods and Applications